Description

• Design, build, deploy, and support production AI solutions.
• Develop agentic workflows, tool integrations, and orchestration pipelines.
• Build and evolve RAG and agent-based architectures.
• Create evaluation frameworks to improve quality, groundedness, and reliability.
• Implement AI observability, tracing, and monitoring capabilities.
• Develop automated testing and regression validation processes.
• Integrate AI solutions with APIs, enterprise applications, and data sources. Design reusable AI patterns, frameworks, and components that increase platform scalability and team productivity.
• Establish engineering best practices and contribute to code reviews.
• Research and adopt emerging AI technologies where they provide business value.
• Partner with stakeholders to translate business problems into AI solutions.

Required Skills

• 5+ years of software engineering experience.
• Proven track record of delivering enterprise-grade production software.
• Strong Python development skills.
• Experience building, deploying, and operating production AI systems.
• Experience designing and implementing RAG solutions.
• Experience with Databricks.
• Hands-on experience with LangGraph or similar agent orchestration frameworks.
• Experience building AI workflows that leverage tools, APIs, and external systems.
• Experience with AI evaluation frameworks and quality measurement.
• Experience implementing AI observability and tracing solutions.
• Understanding of agent architecture patterns, prompt engineering, and LLM evaluation techniques.
• Experience with AWS in production environments.
• Experience designing and consuming REST APIs.
• Experience with Git, CI/CD, and modern software engineering practices.
• Knowledge of secure coding principles and responsible AI practices.
• Experience collaborating within Agile software development teams

Key Skills

Education

Bachelor's degree